Preliminary Studies and Prototypes for Machine Learning based Evaluation of Surfers’ Performance on River Waves
Abstract
In this paper we are describing our preliminary studies and proto- types for evaluating a surfer’s performance on a stationary wave. We are briefly describing the sport’s environment and development and the current state-of- the-art of machine learning based single camera tracking approaches we have evaluated and applied. The main part of the paper deals with the first implemen- tation, the tracking and the results of the evaluation of the movements of two surfers. We are closing with our lessons learned and our next steps.
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| Titel | Preliminary Studies and Prototypes for Machine Learning based Evaluation of Surfers’ Performance on River Waves |
|---|---|
| Medien | 25th International Conference on Human-Computer Interaction - Late Breaking Work |
| Verlag | Springer |
| Heft | --- |
| Band | --- |
| ISBN | 978-3-031-48040-9 |
| Verfasser/Herausgeber | Prof. Michael Zöllner, Moritz Krause, Jan Gemeinhardt, Michael Döllinger, Stefan Kniesburges |
| Seiten | --- |
| Veröffentlichungsdatum | 23.07.2023 |
| Projekttitel | --- |
| Zitation | Zöllner, Michael; Krause, Moritz; Gemeinhardt, Jan; Döllinger, Michael; Kniesburges, Stefan (2023): Preliminary Studies and Prototypes for Machine Learning based Evaluation of Surfers’ Performance on River Waves. 25th International Conference on Human-Computer Interaction - Late Breaking Work. |